Complementary Labels and Their Impact on Deep Learning of a Target Class : Evaluated on Object Detection in the Low Data Regime
In specialized object detection tasks and domains, it is sometimes only possible to collect and annotate a small amount of data for training and evaluation, which constrains training to a low data regime that can lead to poor generalization. In this thesis, the impact of annotations from additional...
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| Format: | Others |
| Language: | English |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305574 |